176 to 200 of 633 ETL Jobs in London

record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activitiesNice to have: Multi-platform technology stack - Experience with Snowflake, Databricks, modern ETL/ELT tools, and relevant certifications (SnowPro, AWS/Azure Data)Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and ...

Databricks to join our team in London, London, City of (GB-LND), United Kingdom (GB).Key Responsibilities Design, optimize, and maintain scalable Databricks pipelines (ETL, streaming, ML workflows). Perform cluster and job performance tuning: optimize cluster sizing, caching, partitioning, and shuffle management. Monitor Spark job metrics, analyze logs, and ...

Data Engineer working on scalable data platforms, ideally in product‐led or high‐growth environments. Technical Skills: Proven expertise in designing, building, and operating ETL/ELT pipelines and large‐scale data architectures. Deep hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg ...

investigations, anti-bribery and corruption and regulatory requirements analysis skillsetsProven knowledge and experience using advanced analytic tools for data visualization, predictive modeling, data management, ETL, data aggregation and dynamic reportingHands-on technical experience mining and analyzing structured data with a strong working knowledge of Microsoft SQL Server, including advanced experience ...

anti-bribery and corruption and regulatory requirements analysis skillsets Proven knowledge and experience using advanced analytic tools for data visualization, predictive modeling, data management, ETL, data aggregation and dynamic reporting Hands-on technical experience mining and analyzing structured data with a strong working knowledge of Microsoft SQL Server, including advanced ...

Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments. Technical Skills: Proven expertise in designing, building, and operating ETL/ELT pipelines and large-scale data architectures. Deep hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg ...

Data Products, you will be responsible for: Supporting Data Pipelines: Assisting in the design and maintenance of scalable data ingestion and processing systems using ETL/ELT methodologies. Cloud Resource Management: Learning to deploy and maintain software utilizing GCP services such as Pub/Sub, BigQuery, Cloud Storage Cross-functional ...

data modeling skills, including conceptual, logical, dimensional, and physical modeling.* Strong understanding of data warehouse and modern cloud data platform architectures.* Deep knowledge of ETL/ELT, APIs, integration patterns, data pipelines, and event-based integration.* Understanding of master data management, data governance, metadata, lineage, and data quality.* Understanding ...

based on team stack). Services: REST/gRPC APIs, microservices and/or modular monoliths, asynchronous job orchestration. Data: SQL, data pipelines/ETL/ELT, caching strategies, data quality checks, reproducible inputs/outputs. DevOps: CI/CD, infrastructure as code, containerisation (e.g., Docker), monitoring/alerting, incident ...

Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). ...

stack tooling: a cloud data platform (Databricks preferred), and version control (Git/GitHub). A solid understanding of data modelling, warehousing patterns, and ETL/ELT design. To be comfortable working with Postgres or similar relational databases. Clear communication - you can explain a data model to a fund manager ...

used third-party packages Understanding of data structures and common data transformation methodologies Experience contributing to large-scale, efficient and performant analytics workflows, including ETL, orchestration, and distributed compute, using industry-standard libraries such as Pandas, Polars, and Dask. Experience working in a modern software engineering environment leveraging Agile (Scrum ...

embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months. Telemetry & Observability: Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes. Field-to-Product Feedback: Serve ...

into that estate (SAP, Oracle or whatever a client runs) across subledgers and the general ledger, consolidation, close and reconciliation tooling. You work with ETL, ELT and API patterns, with both scheduled batch loads and change‐data‐capture feeds, and you handle the things source systems do in practice: master ...

accounts, specifically focusing on net dollar retention. Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) ETL experience Experience implementing production business intelligence solutions Startup experience Additional Job details The base salary for this position is £130K - £150K annually. Compensation may vary ...

into that estate (SAP, Oracle or whatever a client runs) across subledgers and the general ledger, consolidation, close and reconciliation tooling. You work with ETL, ELT and API patterns, with both scheduled batch loads and change‐data‐capture feeds, and you handle the things source systems do in practice: master ...

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs, databases, real-time streams). Leverage Generative AI platforms and frameworks ...

role requires a blend of technical delivery and the ability to translate business requirements into effective data solutions. Key Responsibilities: Build and maintain ETL/ELT pipelines to ingest, transform, and prepare data Develop and optimise datasets for reporting and analytics Implement data transformations using SQL and Python (incl. PySpark ...

modelling. Experience working with Oracle Autonomous Data Warehouse (ADW) and a strong understanding of Oracle Fusion data structures. Strong technical capability across data modelling, ETL/ELT processes, SQL optimisation and analytics engineering. Proven experience collaborating with Data Scientists, AI Engineers and/or Machine Learning Engineers to support ...

using one or more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with automation and data technologies (e.g. RPA, ETL tools, visual analytics) Please note we are hiring in the following locations: London Manchester Glasgow What we offer you At EY, we’ll develop ...

Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL ...

Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL ...

Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL ...

distributed or microservices platform and lived with the consequences. Strong data modelling and SQL skills, plus experience designing data ingestion, transformation or ETL pipelines. You've dealt with data you couldn't trust. Enough Python to design and review it. Our metrics, analytics and AI services are written ...

learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL) Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD Strong focus ...